I got this problem when I'm reading the code for face recognition，and what I'm sure about is this function is not a interpolation function, the interpolation function about Bspline is from package scipy.interpolate,which should be written as
spline = interpolate.BSpline(t, c, k, extrapolate=False)
this is for sure..The souce use of scipy.signal.bspline is like this. from scipy import signal
def find_peak_start(input, treshold=0.001, peak_length=15):
input = numpy.abs(numpy.gradient(signal.bspline(input, 25)))
# Control parameters
input_treshold = numpy.nanmax(input) * treshold
input_length = input.shape[0]
recording = False
start_x = 0
stop_x = 0
# Walk from start to end. When the current value exceeds threshold,
# start recording.
for i in range(0, input_length):
if recording:
if input[i] > treshold:
stop_x = i
if (stop_x - start_x) > peak_length:
return start_x
else:
recording = False
else:
if input[i] > treshold:
start_x = i
recording = True
# Nothing found
return 0
And I cannot understand the source code of scipy.signal.bspline ,all I can know from the souce code is that this function may be a filter.And I wanna konw what is the realationship between the input and output when you put input array into the fuction scipy.signal.bspline.I'm not very interested in how this function works, I just wanna know the characteristic of this function's result.Thank you very much.
